Semantic relation analysis and its application in cognitive profiling

Taiyu Lin; Kinshuk; Sabine Graf

doi:10.1109/ICALT.2007.221

Semantic relation analysis and its application in cognitive profiling

Taiyu Lin, Kinshuk, Sabine Graf

School of Computing and Information systems

Research output: Chapter in Book/Report/Conference proceeding › Published Conference contribution › peer-review

1 Citation (Scopus)

Abstract

Semantic web is an emerging paradigm that has great potential for the management of web content in a meaningful manner. With more and more semantic information appended to web, the web logs can be used to find valuable information about users. Their preferences, characteristics, cognitive capacity, or goals can be interpreted from the patterns of relations between traversed web nodes. A novel approach called semantic relation analysis (SRA) is proposed in this paper to harvest the new opportunities created by semantic web. In this paper, literature about navigational pattern analysis is presented. Example of using SRA in a learning system is also given. Empirical study about SRA showed promising results.

Original language	English
Title of host publication	Proceedings - The 7th IEEE International Conference on Advanced Learning Technologies, ICALT 2007
Pages	683-685
Number of pages	3
DOIs	https://doi.org/10.1109/ICALT.2007.221
Publication status	Published - 2007
Event	7th IEEE International Conference on Advanced Learning Technologies, ICALT 2007 - Niigata, Japan Duration: 18 Jul. 2007 → 20 Jul. 2007

Publication series

Name	Proceedings - The 7th IEEE International Conference on Advanced Learning Technologies, ICALT 2007

Conference

Conference	7th IEEE International Conference on Advanced Learning Technologies, ICALT 2007
Country/Territory	Japan
City	Niigata
Period	18/07/07 → 20/07/07

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10.1109/ICALT.2007.221

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Lin, T., Kinshuk, & Graf, S. (2007). Semantic relation analysis and its application in cognitive profiling. In Proceedings - The 7th IEEE International Conference on Advanced Learning Technologies, ICALT 2007 (pp. 683-685). Article 4281126 (Proceedings - The 7th IEEE International Conference on Advanced Learning Technologies, ICALT 2007). https://doi.org/10.1109/ICALT.2007.221

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title = "Semantic relation analysis and its application in cognitive profiling",

abstract = "Semantic web is an emerging paradigm that has great potential for the management of web content in a meaningful manner. With more and more semantic information appended to web, the web logs can be used to find valuable information about users. Their preferences, characteristics, cognitive capacity, or goals can be interpreted from the patterns of relations between traversed web nodes. A novel approach called semantic relation analysis (SRA) is proposed in this paper to harvest the new opportunities created by semantic web. In this paper, literature about navigational pattern analysis is presented. Example of using SRA in a learning system is also given. Empirical study about SRA showed promising results.",

author = "Taiyu Lin and Kinshuk and Sabine Graf",

year = "2007",

doi = "10.1109/ICALT.2007.221",

language = "English",

isbn = "076952916X",

series = "Proceedings - The 7th IEEE International Conference on Advanced Learning Technologies, ICALT 2007",

pages = "683--685",

booktitle = "Proceedings - The 7th IEEE International Conference on Advanced Learning Technologies, ICALT 2007",

note = "7th IEEE International Conference on Advanced Learning Technologies, ICALT 2007 ; Conference date: 18-07-2007 Through 20-07-2007",

}

Lin, T, Kinshuk, & Graf, S 2007, Semantic relation analysis and its application in cognitive profiling. in Proceedings - The 7th IEEE International Conference on Advanced Learning Technologies, ICALT 2007., 4281126, Proceedings - The 7th IEEE International Conference on Advanced Learning Technologies, ICALT 2007, pp. 683-685, 7th IEEE International Conference on Advanced Learning Technologies, ICALT 2007, Niigata, Japan, 18/07/07. https://doi.org/10.1109/ICALT.2007.221

Semantic relation analysis and its application in cognitive profiling. / Lin, Taiyu; Kinshuk, ; Graf, Sabine.
Proceedings - The 7th IEEE International Conference on Advanced Learning Technologies, ICALT 2007. 2007. p. 683-685 4281126 (Proceedings - The 7th IEEE International Conference on Advanced Learning Technologies, ICALT 2007).

Research output: Chapter in Book/Report/Conference proceeding › Published Conference contribution › peer-review

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AB - Semantic web is an emerging paradigm that has great potential for the management of web content in a meaningful manner. With more and more semantic information appended to web, the web logs can be used to find valuable information about users. Their preferences, characteristics, cognitive capacity, or goals can be interpreted from the patterns of relations between traversed web nodes. A novel approach called semantic relation analysis (SRA) is proposed in this paper to harvest the new opportunities created by semantic web. In this paper, literature about navigational pattern analysis is presented. Example of using SRA in a learning system is also given. Empirical study about SRA showed promising results.

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Semantic relation analysis and its application in cognitive profiling

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